TY - JOUR
T1 - Compression and reconstruction of MRI images using 2D DCT
AU - Wang, Hang
AU - Rosenfeld, Dov
AU - Braun, Michael
AU - Yan, Hong
PY - 1992
Y1 - 1992
N2 - In magnetic resonance imaging (MRI), the original data are sampled in the spatial frequency domain. The sampled data thus constitute a set of discrete Fourier transform (DFT) coefficients. The image is usually reconstructed by taking inverse DFT. The image data may then be compressed using the discrete cosine transform (DCT). We present here a method of treating the data that combines two procedures, image reconstruction and data compression. This method may be particularly useful in medical picture archiving and communication systems (PACS) where both image reconstruction and compression are important issues. © 1992.
AB - In magnetic resonance imaging (MRI), the original data are sampled in the spatial frequency domain. The sampled data thus constitute a set of discrete Fourier transform (DFT) coefficients. The image is usually reconstructed by taking inverse DFT. The image data may then be compressed using the discrete cosine transform (DCT). We present here a method of treating the data that combines two procedures, image reconstruction and data compression. This method may be particularly useful in medical picture archiving and communication systems (PACS) where both image reconstruction and compression are important issues. © 1992.
KW - Data compression
KW - DCT transform
KW - MR imaging
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U2 - 10.1016/0730-725X(92)90513-Y
DO - 10.1016/0730-725X(92)90513-Y
M3 - 21_Publication in refereed journal
C2 - 1406092
VL - 10
SP - 427
EP - 432
JO - Magnetic Resonance Imaging
JF - Magnetic Resonance Imaging
SN - 0730-725X
IS - 3
ER -